arthrodesis
发表于 2025-3-26 21:15:43
http://reply.papertrans.cn/24/2379/237847/237847_31.png
确认
发表于 2025-3-27 03:49:00
http://reply.papertrans.cn/24/2379/237847/237847_32.png
轮流
发表于 2025-3-27 07:14:39
1931-6828 nerally, different. This fact, which was not taken into account in the previous book, is indeed important in practice. For example, the subgradient projection algorithm consists of two steps. The first step is 978-3-030-37824-0978-3-030-37822-6Series ISSN 1931-6828 Series E-ISSN 1931-6836
刺穿
发表于 2025-3-27 09:56:24
http://reply.papertrans.cn/24/2379/237847/237847_34.png
不连贯
发表于 2025-3-27 14:25:06
Subgradient Projection Algorithm,all positive constant. Moreover, if we know the computational errors for the two steps of our algorithm, we find out what approximate solution can be obtained and how many iterates one needs for this.
激励
发表于 2025-3-27 19:50:35
http://reply.papertrans.cn/24/2379/237847/237847_36.png
Lignans
发表于 2025-3-28 01:26:31
http://reply.papertrans.cn/24/2379/237847/237847_37.png
缺陷
发表于 2025-3-28 02:53:24
Minimization of Quasiconvex Functions,l errors are bounded from above by a small positive constant. Moreover, if we know the computational errors for the two steps of our algorithm, we find out what approximate solution can be obtained and how many iterates one needs for this.
积云
发表于 2025-3-28 10:09:53
https://doi.org/10.1007/978-3-663-07526-4t for every algorithm its iteration consists of several steps and that computational errors for different steps are different, in general. In this chapter we discuss several algorithms which are studied in this book.
细丝
发表于 2025-3-28 13:10:56
https://doi.org/10.1007/978-3-030-67572-1rors are different. We show that our algorithm generates a good approximate solution, if all the computational errors are bounded from above by a small positive constant. Moreover, if we know the computational errors for the two steps of our algorithm, we find out what approximate solution can be obtained and how many iterates one needs for this.